pytorch网络层结构的数组化

最近再写openpose，它的网络结构是多阶段的网络，所以写网络的时候很想用列表的方式，但是直接使用列表不能将网络中相应的部分放入到cuda中去。
其实这个问题很简单的，使用moduleList就好了。
1 我先是定义了一个函数，用来根据超参数，建立一个基础网络结构

stage = [[3, 3, 3, 1, 1], [7, 7, 7, 7, 7, 1, 1]]branches_cfg = [[[128, 128, 128, 512, 38], [128, 128, 128, 512, 19]],                [[128, 128, 128, 128, 128, 128, 38], [128, 128, 128, 128, 128, 128, 19]]]# used for add two branches as well as adapt to certain stagedef add_extra(i, branches_cfg, stage):    """    only add CNN of brancdes S & L in stage Ti  at the end of net    :param in_channels:the input channels & out    :param stage: size of filter    :param branches_cfg: channels of image    :return:list of layers    """    in_channels = i    layers = []    for k in range(len(stage)):        padding = stage[k] // 2        conv2d = nn.Conv2d(in_channels, branches_cfg[k], kernel_size=stage[k], padding=padding)        layers += [conv2d, nn.ReLU(inplace=True)]        in_channels = branches_cfg[k]    return layers

2 然后用普通列表装载他们

conf_bra_list = []paf_bra_list = []# param for branch networkin_channels = 128for i in range(all_stage):   if i > 0:       branches = branches_cfg[1]       conv_sz = stage[1]   else:       branches = branches_cfg[0]       conv_sz = stage[0]   conf_bra_list.append(nn.Sequential(*add_extra(in_channels, branches[0], conv_sz)))   paf_bra_list.append(nn.Sequential(*add_extra(in_channels, branches[1], conv_sz)))   in_channels = 185

3 再然后，使用moduleList方法，把普通列表专成pytorch下的模块

# to listself.conf_bra = nn.ModuleList(conf_bra_list)self.paf_bra = nn.ModuleList(paf_bra_list)

4 最后，调用就好了

out_0 = x# the base transformfor k in range(len(self.vgg)):    out_0 = self.vgg[k](out_0)# local name spacename = locals()confs = []pafs = []outs = []length = len(self.conf_bra)for i in range(length):    name['conf_%s' % (i + 1)] = self.conf_bra[i](name['out_%s' % i])    name['paf_%s' % (i + 1)] = self.paf_bra[i](name['out_%s' % i])    name['out_%s' % (i + 1)] = torch.cat([name['conf_%s' % (i + 1)], name['paf_%s' % (i + 1)], out_0], 1)    confs.append('conf_%s' % (i + 1))    pafs.append('paf_%s' % (i + 1))    outs.append('out_%s' % (i + 1))

5 顺便装了一下，使用了python局部变量命名空间，name = locals()，其实完全使用普通列表保存变量就好了，高兴就好。